Evidence map›Paper›PMID 42656909›Full record

ArticleDepression and anxiety2026

Internet Use, Subjective Age, and Mental Health Among Middle-Aged and Older Adults in China: Pressured Versus Voluntary Internet Use.

Long Li, Haiyi Cheng, Guangzhao Jin, Rize Jing

Abstract read
In one paragraph

Article in Depression and anxiety, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Long LiCenter for Population and Development Studies, Renmin University of China, Beijing, China, ruc.edu.cn.ORCID https://orcid.org/0000-0002-7471-604X
Haiyi ChengDepartment of Sociology, University of Virginia, Charlottesville, Virginia, USA, virginia.edu.ORCID https://orcid.org/0009-0004-6156-2426
Guangzhao JinSchool of Sociology, Nankai University, Tianjin, China, nankai.edu.cn.ORCID https://orcid.org/0000-0002-2970-9967
Rize JingCenter for Population and Development Studies, Renmin University of China, Beijing, China, ruc.edu.cn.ORCID https://orcid.org/0000-0002-1469-909X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The rapid development of Internet technology and the swift digitization of public services may expose middle-aged and older adults to challenges of pressured Internet use. This study aimed to compare the relationships between pressured and voluntary Internet use and mental health among Chinese middle-aged and older adults, and to explore the mediating role of subjective age. Methods: Based on data from the China Digital Divide and Digital Inclusion Survey (CDDDIS) involving 5231 individuals aged ≥50 years, confirmatory latent class analysis (LCA) was employed to identify pressured and voluntary Internet use patterns. Structural equation modeling, adjusting for covariates, was utilized to examine their differential associations with depressive symptoms and the mediating effects of subjective age. Results: Among middle-aged and older Internet users, 27% engaged in pressured Internet use. Voluntary Internet use demonstrated significant direct and indirect effects on reducing depressive symptoms via lowering subjective age. Pressured Internet use showed no discernible effect on depressive symptoms compared to nonuse. Conclusion: Voluntary Internet engagement enhances mental health among middle-aged and older adults by mitigating stereotyped self-perceptions of aging, whereas unwilling technology interactions fail to yield psychological benefits. Supporting self-driven digital participation is crucial in addressing well-being disparities in the context of proliferating Internet services.

Indexed as

AgingDepressionInternetInternet UseMental HealthSelf ConceptAgedChinaDigital MediaFemaleHumansMaleMiddle Ageddepressive symptomsdigital dividestructural equation modelingsubjective age

Identifiers

PMID42656909
PMCPMC13507829

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.